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bob
bob.learn.em
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28aba742510b6470995d1c4cd55d92e580efdb1b
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bob_em_train
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[kmeans] parallelize kmeans weights variance estimation
prepare for kmeans weights variance parallelization
Merge branch 'deduplicate-gmm-code' into 'master'
[gmm] add more dask tests, fixes #38
[gmm] Simply calls to functions by passing GMM machine around
Merge branch 'deduplicate-gmm-code' into 'master'
[gmm] make sure z is always a float array
[gmm] deduplicate EM training code
Merge branch 'improve-variance-estimation-speed' into 'master'
improve variance estimation speed in kmeans, convert data to proper arrays
Merge branch 'fix-np-memory' into 'master'
close dask client to see if it prevents tests hanging
[refactor] Rename k_means as kmeans
Reduce memory cost of expensive kmeans operations.
Merge branch 'kmeans-em-refactor' into 'master'
[gmm] fix gmm training when dask workers are in a different process
[gmm] split e-m training into two clear steps
[kmeans] memory optimizations
[kmeans] refactor e-m to have simpler graphs for dask
Merge branch 'params' into 'master'
Parameters fixes
Drop bob.db.iris
remove develop.cfg
Merge branch 'api-fixes' into 'master'
[doc] fix import in plot script
Improvements to the new API and docs
Merge branch 'fix-hdf5' into 'master'
Keep minimum version from bob.devtools as well.
Set minimal version of h5py to v3
Support h5py v3; add tests for loaded objects.
Merge branch 'bob.learn.linear' into 'master'
Making linear models work with numpy and dask
Moved the necessary bits of bob.learn.linear to this package
Merge branch 'pure-python' into 'master'
Merge branch 'master' into pure-python
Merge branch 'py-gmm' into 'pure-python'
Added kmeans tests
Added a k-means test for machine parameters
Added GMM dask tests, renamed tests
Remove divide by zero for later ignored value.
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